- Load and install required libraries automatically if needed
# instal pacman package if needed
if (!require("pacman")) install.packages("pacman")
## Loading required package: pacman
# now load and install other packages for your script
pacman::p_load(tidyverse,plotly,
dplyr)
- use a built-in r dataset for practice
#define the built in dataset as an r object for ease of use
df = mtcars
head(df)
## mpg cyl disp hp drat wt qsec vs am gear carb
## Mazda RX4 21.0 6 160 110 3.90 2.620 16.46 0 1 4 4
## Mazda RX4 Wag 21.0 6 160 110 3.90 2.875 17.02 0 1 4 4
## Datsun 710 22.8 4 108 93 3.85 2.320 18.61 1 1 4 1
## Hornet 4 Drive 21.4 6 258 110 3.08 3.215 19.44 1 0 3 1
## Hornet Sportabout 18.7 8 360 175 3.15 3.440 17.02 0 0 3 2
## Valiant 18.1 6 225 105 2.76 3.460 20.22 1 0 3 1
# convert rownames to a column
df$categories = rownames(df)
- interactive bar chart with plotly r: Value of mpg variable over
different Categories
fig <- plot_ly(df,
x = ~categories, y = ~mpg,
type = 'bar', name= 'mpg variable'
)
fig1 <- fig %>%
layout(title = "mtcar data explorations 1")
fig1
- order bar chart: interactive chart & order on x axis category
factors
fig <- plot_ly(df,
x = ~categories, y = ~mpg,
type = 'bar', name= 'mpg variable'
)
fig2 <- fig %>% layout(title = "mtcars data exploration",
xaxis = list(title = "",
categoryorder = "total descending"),
yaxis = list(title = ""))
fig2
- two bar charts in one: interactive bar chart, multiple
categories